Meet AtScale
Start here
What AtScale does
The path to 100% accuracy
How AI scores on BIRD-Interact
AI accuracy in your industry
Watch the trailer
The concepts
What is an AI computation engine?
What is a semantic layer?
Why AI guesses at your metrics
AtScale versus catalogs
AtScale versus ontologies
Why skills alone aren't enough
Now playing
Watch the AI Accuracy Files
A weekly show about why AI guesses, and the work to get it right.
Watch the show →
Product
Platform
How AtScale works
AtScale ACE
AtScale CoModel
AtScale Ava
AtScale Canary
AtScale Governance
Editions
AtScale Enterprise
AtScale for Snowflake ↗
Computes on
Snowflake
Databricks
Google BigQuery
Amazon Redshift
Microsoft Azure
All data platforms →
Works with AI
Model Context Protocol
Claude
Cursor
ChatGPT
Open-weight models
All AI tools →
Serves BI
Power BI
Excel
Tableau
Looker
All BI tools →
Use Cases
What you’re solving
AI accuracy
Business intelligence
Data governance & trust
Semantic modeling
Conversational analytics
Context for AI
All use cases →
Your industry
Retail & consumer
Financial services
Supply chain & logistics
Telecom
Healthcare
All industries →
Customer stories
Blue Yonder
Papa Johns
TELUS
Vodafone
Bluemercury
All customer stories →
Certified gold
Blue Yonder: 30 hours to 90 seconds
A thousand dashboards and 800 tables became ten governed models. Analysis that took a team four days now runs in about ninety seconds.
Read the story →
Resources
Read
Blog
Guides
White papers & reports
Solution briefs
Glossary
Interactive Demos
Resource Library →
Watch & Listen
Webinars
Product demos
AI Accuracy Files
Data-Driven Podcast
Learn AtScale
Documentation
AtScale Academy
Quickstart
Video tutorials
Support
Knowledge Base
Community
Developer Community
Semantic Layer 2026 Tour
Semantic Layer Summit
Events calendar →
Company
Work with us
Pricing
Services & support
Trust & compliance
Partners
Alliance partners
Become a partner
About
About AtScale
Leadership team
Careers
Newsroom
Now auditioning
Wanted: troublemakers
Rules are optional. Correct numbers aren’t. Join us, and let’s make a dent in the AI universe together.
See open roles →

Updated April 5, 2024 / Posted by:

Learn how AtScale (Semantic Layer) + Databricks (Data Lakehouse) = Semantic Lakehouse

Blog/Databricks, Semantic Layer, Webinars

Estimated reading time: 0 minutes

The Universal Semantic Layer for enterprise AI and analytics.

AtScale provides the Universal Semantic Layer for enterprise AI and analytics. A semantic layer is the shared dictionary for a company’s business — the one governed place where metrics like revenue, active customers, and margin are defined once, so every tool and every AI answers with the same number. With AtScale for AI, it’s the first semantic computation layer built for AI, giving agents and LLMs one governed place to compute business metrics accurately through the ACE engine, AtScale CoModel, and the AI Accuracy Flywheel.

Product & Use Cases

Universal Semantic Layer
AI Context and MCP
Agentic Analytics
Data Governance and Trust
Self-Service BI
Semantic Modeling
AtScale for Snowflake
Integrations
Pricing

Resources

All Resources
Blog
Documentation
Guides
Interactive Demos
Podcast
Product Demos
Solution Briefs
Webinars
White Papers and Reports

Company

About AtScale
Careers
Contact Us
Customer Login
Leadership Team
Newsroom
Partners
Privacy Policy
Services and Support
Sitemap
Trust and Compliance

Customers

All Customer Stories
Bluemercury: Retail Self-Service
Blue Yonder: AI Agents
Papa Johns: Franchise Analytics
TELUS: Network Analytics
Tier 1 Bank: AI Optimization
Vodafone: Scalable Cloud-Native Analytics

Learn

A Skill or README Isn’t a Semantic Layer
Best Agentic AI Tools for Enterprises
Scaling AI Efficiently with Semantic Layers
The Real AI Sovereignty Fight Is About Meaning
What Is a Semantic Layer?
What Is AI Context?
What Is AI-Ready Data?
Why ChatGPT Gives Different Answers to the Same Question
Your AI Isn’t Expensive. It’s Guessing.

Privacy/Terms/Security

2026 AtScale. All rights reserved.